import plotly.figure_factory as ff
import numpy as np

# Add histogram data
x1 = ufc.B_Age
x2 = ufc.R_Age

# Group data together
hist_data = [x1, x2]

group_labels = ['B_Age', 'R_Age']

# Create distplot with custom bin_size
fig = ff.create_distplot(hist_data, group_labels, bin_size=[0, 5, 10])
fig.show()

import plotly.figure_factory as ff
import numpy as np

# Add histogram data
x1 = ufc.B_Weight
x2 = ufc.R_Weight

# Group data together
hist_data = [x1, x2]

group_labels = ['B_Weight', 'R_Weight']

# Create distplot with custom bin_size
fig = ff.create_distplot(hist_data, group_labels, bin_size=[0, 5, 10])
fig.show()

import plotly.figure_factory as ff
import numpy as np

# Add histogram data
x1 = ufc.B_Height
x2 = ufc.R_Height

# Group data together
hist_data = [x1, x2]

group_labels = ['B_Height', 'R_Height']

# Create distplot with custom bin_size
fig = ff.create_distplot(hist_data, group_labels, bin_size=[0, 5, 10])
fig.show()

import plotly.figure_factory as ff
import numpy as np

# Add histogram data
x1 = ufc.B_Height
x2 = ufc.R_Height

# Group data together
hist_data = [x1, x2]

group_labels = ['B_Height', 'R_Height']

# Create distplot with custom bin_size
fig = ff.create_distplot(hist_data, group_labels, bin_size=[0, 5, 10])
fig.show()

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.B_Age.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"B_Age",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "B_Age",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.R_Age.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"R_Age",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "R_Age",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.B_Height.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"B_Height",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "B_Height",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.R_Height.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"R_Height",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "R_Height",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.B_Weight.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"B_Weight",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "B_Weight",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.R_Weight.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"R_Weight",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "R_Weight",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.winner.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"Who is the winner?",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "Winner",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')

from plotly.offline  import download_plotlyjs,init_notebook_mode,plot, iplot
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
temp = ufc.winby.value_counts()
fig = {
  "data": [
    {
      "values": temp.values,
      "labels": temp.index,
      "domain": {"x": [0, 1]},
      "hole": .6,
      "type": "pie"
    },
    
    ],
  "layout": {
        "title":"Who was the winner of the fight?",
        "annotations": [
            {
                "font": {
                    "size": 17
                },
                "showarrow": False,
                "text": "Winby",
                "x": 0.5,
                "y": 0.5
            }
            
        ]
    }
}
iplot(fig, filename='donut')